Data Scientist focusing on building and improving tools for credit risk management at FCC. Analyzing complex data to design and validate analytical models for risk assessment.
About the role
- Internship opportunity for aspiring Data Scientist and Machine Learning Engineer at McKesson. Gain hands-on experience in AI and ML to address complex business challenges.
Responsibilities
- Analyze diverse datasets to uncover patterns, trends, and actionable insights
- Develop and implement machine learning models and feature engineering techniques
- Collaborate with business units to gather requirements and deliver data-driven solutions
- Design, execute, and evaluate experiments to validate models and hypotheses
- Utilize advanced statistical and machine learning techniques to drive business decisions
- Create and maintain robust data pipelines and processing systems
- Present findings to stakeholders through detailed reports and visualizations
- Stay informed on the latest trends in AI and ML technologies
Requirements
- Currently pursuing a Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field
- Basic understanding or coursework in AI and ML tools and techniques is a plus
- Interest in analyzing complex datasets and ability to conceptualize data-driven solutions
- Eagerness to learn about integrating intelligent capabilities into business processes
- Strong problem-solving skills with a passion for transforming complex challenges into straightforward solutions
- Excellent communication skills, with a willingness to learn how to convey technical concepts clearly to non-technical stakeholders
Benefits
- Competitive compensation package
- Total Rewards package
- Annual bonus opportunities
- Long-term incentive opportunities
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